Qijing Qin

Qijing Qin

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Qijing Qin has a total of 17 co-authors. Here are the top co-authors by number of shared publications:

  • Hui Qin

    International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning, Guangxi, China

    2 shared publications
  • Jiaxi Ye

    International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning, Guangxi, China

    2 shared publications
  • Kaihua Wang

    International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning, Guangxi, China

    2 shared publications
  • Shuqi Cui

    Faculty of Zhuang Clinical Medicine of Guangxi University of Chinese Medicine, Nanning, Guangxi, China

    2 shared publications
  • Xiaowen Wang

    Faculty of Zhuang Clinical Medicine of Guangxi University of Chinese Medicine, Nanning, Guangxi, China

    2 shared publications
  • Yanjiang Li

    International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning, Guangxi, China

    2 shared publications

Latest Publications

  • Open Access

    Tobacco-attributable burden of alzheimer’s disease and other dementias in China and ASEAN

    by Piaoyun Wen, Wenwen Liu, Yanjiang Li, Mengmeng Liao, Haofeng Qin, Jiaxi Ye, Ziyong Deng, Shuqi Cui, Yongli Zhao, Xiaowen Wang, et al.

    This study aimed to systematically analyze the disease burden of Alzheimer’s disease and other dementias (ADOD) attributed to tobacco in China and ASEAN countries from 1990 to 2021, and predict the disease burden in the next ten years to characterize the disparities in disease burden between the 2 sides, and to conduct a preliminary exploration of factors that may be associated with these disparities. Data on ADOD deaths, mortality, DALYs and DALY rates attributed to tobacco in China and ASEAN countries were extracted from GBD 2021, and the trend of disease burden was analyzed using Joinpoint regression model. R software was used for data analysis and visualization, and Joinpoint regression model was used to calculate the APC of each indicator; the disease burden attributable to tobacco in China and ASEAN countries was analyzed through the SDI; and the ARIMA was used to predict ADOD from 2022 to 2035. In China, the number of ADOD deaths (1990: 8126.47, 95% CI: 1822.19–22,577.84), mortality rate, DALYs, and DALY rate attributable to tobacco all exhibited significant and sustained upward trends from 1990 to 2021, and consistently exceeded the corresponding levels in the other ten ASEAN countries. The APC for mortality and DALY rates showed a significant increase in China and most ASEAN countries, with particularly rapid increases in mortality in China, Thailand, Cambodia, and Indonesia. Correspondingly, the DALY rate rose in most countries, indicating a growing overall disease burden. An exception was Myanmar, where the burden decreased. The burden of tobacco-attributable ADOD was consistently higher among males than females in all countries. Analysis based on SDI revealed a lower and more stable disease burden in high-SDI areas, whereas medium- and low-SDI countries demonstrated an upward trend. ARIMA model projections for 2022–2035 suggest that while mortality trends are diverse, an increasing trend is anticipated in most countries. The disease burden of ADOD attributable to tobacco use has continued to rise in China and ASEAN countries. This trend suggests a potential role for tobacco control in the prevention of ADOD, and also points to the value of strengthening tobacco regulation and paying early attention to cognitive interventions.

  • Open Access

    Evaluating the clinical evidence of TCM in Alzheimer’s disease: an evidence map perspective

    by Shuqi Cui, Yongli Zhao, Xiaowen Wang, Yingzi Huang, Jiaxi Ye, Ziyong Deng, Yanjiang Li, Hui Qin, Li Wang, Yan Li, et al.

    Objective: This systematic review aimed to synthesize current clinical evidence from randomized controlled trial (RCT) and meta-analyses on the efficacy and safety of TCM in the treatment of Alzheimer’s Disease (AD).Methods: Systematic searches across eight biomedical databases (PubMed, Embase, Web of Science, Cochrane Library, CNKI, Wanfang, VIP, SinoMed) through October 26, 2024 yielded an evidence matrix, which was analyzed through integrated narrative-graphic synthesis.Results: Our analysis encompassed 187 studies (141 RCTs and 46 systematic reviews/meta-analyses), demonstrating cyclical publication growth with recent contraction. Study characteristics included sample sizes of 50–100 participants and intervention durations of 4–24 weeks. Interventions included acupuncture, herbal decoctions, and proprietary medicines. Outcomes focused on clinical efficacy, scale scores, TCM syndrome scores, and safety. While TCM demonstrated therapeutic potential, prescription heterogeneity and diagnostic ambiguity constrained specificity. Methodological quality was generally low, with few high-quality systematic reviews or meta-analyses.Conclusion: While TCM shows therapeutic potential in Alzheimer’s disease, methodological limitations persist. Subsequent research requires enhanced trial designs with standardized outcome metrics and rigorous bias control protocols.